section-logic-polisher

Section Logic Polisher (thesis + argument bridges)

Safety Notice

This listing is imported from skills.sh public index metadata. Review upstream SKILL.md and repository scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "section-logic-polisher" with this command: npx skills add willoscar/research-units-pipeline-skills/willoscar-research-units-pipeline-skills-section-logic-polisher

Section Logic Polisher (thesis + argument bridges)

Purpose: close the main “paper feel” gap that remains even when a subsection is long and citation-dense:

  • missing/weak thesis (paragraph 1 never commits to a claim)

  • weak inter-paragraph flow (paragraph islands; no content-bearing bridges)

This is a local, per-H3 polish step that happens after drafting and before merging.

Note: if the main problem is redundancy/overgrowth (sections only get longer), use paragraph-curator for a select->fuse pass. This skill stays focused on thesis + bridges.

What this skill blocks on (and what it does not)

Blocking (must fix):

  • paragraph 1 lacks an explicit thesis / takeaway (a content claim)

Non-blocking (diagnostic only):

  • connector word counts (e.g., “moreover/however/therefore”). Counts are a proxy for paragraph islands, but forcing them as a quota often creates “generator cadence” (paragraph-initial adverbs). Treat these stats as signals, not goals.

Role prompt: Logic Editor (argument flow)

You are the logic editor for one survey subsection.

Your job is to make the subsection read like a single argument:

  • paragraph 1 commits to a clear thesis (content claim)
  • each paragraph has an explicit logical relation to the previous one
  • bridges are content-bearing (contrast/causal/implication), not slide narration

Constraints:

  • do not add new citations
  • do not change citation keys
  • do not invent facts

Editing lens:

  • if a paragraph does not advance the argument (claim/contrast/eval/limitation), compress or delete it
  • if a transition is empty, rewrite it as a content-bearing bridge

Inputs

  • sections/ (expects H3 body files like S<sec>_<sub>.md )

  • outline/subsection_briefs.jsonl (use thesis

  • paragraph_plan[].connector_phrase as intent)
  • Optional: outline/writer_context_packs.jsonl (preferred; has trimmed anchors/comparisons + must_use )

Outputs

  • output/SECTION_LOGIC_REPORT.md (PASS/FAIL for thesis; connector stats shown for diagnosis)

Manual / LLM-first (in place):

  • Update the H3 body files under sections/ (e.g., sections/S<sec>_<sub>.md ) to fix thesis/bridges (no new citations; keep keys stable)

Workflow (self-loop)

Run the checker script to surface the exact failing files.

For each failing H3 file:

Work on the concrete H3 body file (pattern): sections/S<sec>_<sub>.md

Use outline/subsection_briefs.jsonl as the source of truth for the subsection thesis and paragraph-plan intent.

If available, prefer outline/writer_context_packs.jsonl to stay aligned with must_use anchors/constraints (no new cites).

Thesis (blocking)

  • Make paragraph 1 end with a conclusion-first thesis sentence.

  • Prefer a content claim, not meta narration. Avoid repetitive openers like This subsection argues/surveys ... .

  • Minimal shape (3 sentences; paraphrase, don’t copy):

  • claim / tension

  • why it matters (protocol/evaluation relevance)

  • how the subsection will resolve it (what contrasts/anchors it will use)

Flow (fix only when needed)

  • Add 1–2 short bridges where paragraphs feel disconnected.

  • Prefer subject-first sentences and mid-sentence glue (because/while/which) over paragraph-start adverbs.

  • Avoid PPT navigation (Next, we ... , We now turn to ... ).

  • Rerun the checker until output/SECTION_LOGIC_REPORT.md is PASS, then proceed to transition-weaver and section-merger .

Examples

Thesis signal (paragraph 1)

Bad (topic setup only):

  • Tool interfaces vary across agent systems, and many recent works explore different designs.

Better (conclusion-first claim):

  • A central tension in tool interfaces is balancing expressivity with verifiability; as a result, interface contracts often determine which evaluation claims transfer across environments.

Bad (meta narration):

  • This subsection argues that memory is important for agents.

Better (content claim):

  • Memory designs trade off retrieval reliability against write-time contamination, and this trade-off shows up as distinct failure modes under fixed evaluation protocols.

Bridges (avoid paragraph islands)

Bad (no relation):

  • X does ... (para 2)

  • Y does ... (para 3)

Better (explicit tie):

  • Whereas X optimizes for <axis>, Y shifts the bottleneck to <axis>; under fixed budgets, this changes whether the reported gains reflect better planning or simply more expensive search.

Done criteria

  • output/SECTION_LOGIC_REPORT.md shows - Status: PASS

  • No section file contains placeholders (TODO /… /... ) or outline meta markers (Intent: /RQ: /Evidence needs: )

  • Every H3 has a clear paragraph-1 thesis; bridges are added only where flow is actually broken

Script

Quick Start

  • python .codex/skills/section-logic-polisher/scripts/run.py --workspace workspaces/<ws>

Notes:

  • The script is a checker; it does not rewrite prose.

  • Connector stats are printed for diagnosis. Do not “write to the counter”; write to the argument.

All Options

  • --workspace <dir>

  • --unit-id <U###>

  • --inputs <semicolon-separated>

  • --outputs <semicolon-separated>

  • --checkpoint <C#>

Examples

Default run:

python .codex/skills/section-logic-polisher/scripts/run.py --workspace workspaces/<ws>

Explicit output path (rare override; prefer defaults):

python .codex/skills/section-logic-polisher/scripts/run.py --workspace workspaces/<ws> --outputs output/SECTION_LOGIC_REPORT.md

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

Research

pdf-text-extractor

No summary provided by upstream source.

Repository SourceNeeds Review
Research

latex-compile-qa

No summary provided by upstream source.

Repository SourceNeeds Review
Research

draft-polisher

No summary provided by upstream source.

Repository SourceNeeds Review